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Types & classes167 in github.com/Thunderbeee/ZSCL

⨍ Functions 631◇ Types & classes 167
↓ 15 callersClassImageFolderWithPaths
mtil/src/datasets/common.py:24
↓ 15 callersClassImageFolderWithPaths
cil/datasets_ref/common.py:24
↓ 7 callersClassSubsetSampler
mtil/src/datasets/common.py:14
↓ 7 callersClassSubsetSampler
cil/datasets_ref/common.py:14
↓ 5 callersClassLayerNorm
Subclass torch's LayerNorm to handle fp16.
mtil/clip/model.py:155
↓ 5 callersClassLayerNorm
Subclass torch's LayerNorm to handle fp16.
cil/clip/model.py:155
↓ 4 callersClassClassificationHead
mtil/src/models/modeling.py:34
↓ 3 callersClassBasicVisionDataset
mtil/src/datasets/cifar10.py:89
↓ 3 callersClassBasicVisionDataset
cil/datasets_ref/cifar10.py:89
↓ 3 callersClassconceptual_captions
cil/continual_clip/cc.py:34
↓ 2 callersClassBottleneck
mtil/clip/model.py:12
↓ 2 callersClassBottleneck
cil/clip/model.py:12
↓ 2 callersClassClassIncremental
cil/continual_clip/models.py:22
↓ 2 callersClassImageClassifier
mtil/src/models/modeling.py:60
↓ 2 callersClassImageEncoder
mtil/src/models/modeling.py:8
↓ 2 callersClassTransformer
mtil/clip/model.py:193
↓ 2 callersClassTransformer
cil/clip/model.py:193
↓ 1 callersClassAttentionPool2d
mtil/clip/model.py:58
↓ 1 callersClassAttentionPool2d
cil/clip/model.py:58
↓ 1 callersClassCIFAR100
cil/datasets_ref/cifar10.py:201
↓ 1 callersClassCLIP
mtil/clip/model.py:247
↓ 1 callersClassCLIP
cil/clip/model.py:247
↓ 1 callersClassCsvDataset
mtil/src/datasets/cc.py:15
↓ 1 callersClassCsvDataset
cil/datasets_ref/cc.py:15
↓ 1 callersClassCsvDataset
cil/continual_clip/cc.py:15
↓ 1 callersClassDomainIncremental
cil/continual_clip/models.py:286
↓ 1 callersClassDynamicDataset
mtil/src/dynamic_dataset.py:12
↓ 1 callersClassDynamicDataset
cil/continual_clip/dynamic_dataset.py:13
↓ 1 callersClassFeatureDataset
mtil/src/datasets/common.py:118
↓ 1 callersClassFeatureDataset
cil/datasets_ref/common.py:118
↓ 1 callersClassImageNet1000
Continuum dataset for datasets with tree-like structure. :param train_folder: The folder of the train data. :param test_folder: The folder of
cil/continual_clip/datasets.py:13
↓ 1 callersClassImageNetV2DatasetWithPaths
mtil/src/datasets/imagenetv2.py:7
↓ 1 callersClassImageNetV2DatasetWithPaths
cil/datasets_ref/imagenetv2.py:7
↓ 1 callersClassLabelSmoothing
mtil/src/utils.py:86
↓ 1 callersClassModifiedResNet
A ResNet class that is similar to torchvision's but contains the following changes: - There are now 3 "stem" convolutions as opposed to 1, wi
mtil/clip/model.py:95
↓ 1 callersClassModifiedResNet
A ResNet class that is similar to torchvision's but contains the following changes: - There are now 3 "stem" convolutions as opposed to 1, wi
cil/clip/model.py:95
↓ 1 callersClassObjectNetDataset
mtil/src/datasets/objectnet.py:52
↓ 1 callersClassObjectNetDataset
cil/datasets_ref/objectnet.py:52
↓ 1 callersClassQuickGELU
mtil/clip/model.py:164
↓ 1 callersClassQuickGELU
cil/clip/model.py:164
↓ 1 callersClassResidualAttentionBlock
mtil/clip/model.py:169
↓ 1 callersClassResidualAttentionBlock
cil/clip/model.py:169
↓ 1 callersClassTaskAgnostic
cil/continual_clip/models.py:290
↓ 1 callersClassVidRobustDataset
mtil/src/datasets/imagenet_vid_robust.py:13
↓ 1 callersClassVidRobustDataset
cil/datasets_ref/imagenet_vid_robust.py:13
↓ 1 callersClassVisualTransformer
mtil/clip/model.py:204
↓ 1 callersClassVisualTransformer
cil/clip/model.py:204
↓ 1 callersClassWISE_FT
mtil/src/models/wiseft.py:36
↓ 1 callersClassYtbbPmkDataset
mtil/src/datasets/ytbb_robust.py:264
↓ 1 callersClassYtbbPmkDataset
cil/datasets_ref/ytbb_robust.py:264
↓ 1 callersClassYtbbRobustDataset
mtil/src/datasets/ytbb_robust.py:428
↓ 1 callersClassYtbbRobustDataset
cil/datasets_ref/ytbb_robust.py:428
ClassAircraft
mtil/src/datasets/collections.py:84
ClassAircraft
cil/datasets_ref/collections.py:84
ClassCIFAR10
mtil/src/datasets/cifar10.py:47
ClassCIFAR10
mtil/src/datasets/collections.py:288
ClassCIFAR10
cil/datasets_ref/cifar10.py:47
ClassCIFAR10
cil/datasets_ref/collections.py:288
ClassCIFAR100
mtil/src/datasets/cifar10.py:201
ClassCIFAR100
mtil/src/datasets/collections.py:302
ClassCIFAR100
cil/datasets_ref/collections.py:302
ClassCIFAR101
mtil/src/datasets/cifar10.py:108
ClassCIFAR101
cil/datasets_ref/cifar10.py:108
ClassCIFAR102
mtil/src/datasets/cifar10.py:148
ClassCIFAR102
cil/datasets_ref/cifar10.py:148
ClassCaltech101
mtil/src/datasets/collections.py:113
ClassCaltech101
cil/datasets_ref/collections.py:113
ClassClassificationDataset
mtil/src/datasets/collections.py:14
ClassClassificationDataset
cil/datasets_ref/collections.py:14
ClassDTD
mtil/src/datasets/collections.py:316
ClassDTD
cil/datasets_ref/collections.py:316
ClassEuroSAT
mtil/src/datasets/collections.py:341
ClassEuroSAT
cil/datasets_ref/collections.py:341
ClassExpandedDataset
mtil/src/models/expand_dataset.py:10
ClassFMOW
mtil/src/datasets/fmow.py:8
ClassFMOW
cil/datasets_ref/fmow.py:8
ClassFMOWID
mtil/src/datasets/fmow.py:49
ClassFMOWID
cil/datasets_ref/fmow.py:49
ClassFMOWOOD
mtil/src/datasets/fmow.py:54
ClassFMOWOOD
cil/datasets_ref/fmow.py:54
ClassFlowers
mtil/src/datasets/collections.py:378
ClassFlowers
cil/datasets_ref/collections.py:378
ClassFood
mtil/src/datasets/collections.py:499
ClassFood
cil/datasets_ref/collections.py:499
ClassIWildCam
mtil/src/datasets/iwildcam.py:41
ClassIWildCam
cil/datasets_ref/iwildcam.py:41
ClassIWildCamID
mtil/src/datasets/iwildcam.py:81
ClassIWildCamID
cil/datasets_ref/iwildcam.py:81
ClassIWildCamIDNonEmpty
mtil/src/datasets/iwildcam.py:99
ClassIWildCamIDNonEmpty
cil/datasets_ref/iwildcam.py:99
ClassIWildCamNonEmpty
mtil/src/datasets/iwildcam.py:93
ClassIWildCamNonEmpty
cil/datasets_ref/iwildcam.py:93
ClassIWildCamOOD
mtil/src/datasets/iwildcam.py:87
ClassIWildCamOOD
cil/datasets_ref/iwildcam.py:87
ClassIWildCamOODNonEmpty
mtil/src/datasets/iwildcam.py:105
ClassIWildCamOODNonEmpty
cil/datasets_ref/iwildcam.py:105
ClassImageNet
mtil/src/datasets/imagenet.py:11
ClassImageNet
cil/datasets_ref/imagenet.py:11
ClassImageNetA
mtil/src/datasets/imagenet_a.py:35
ClassImageNetA
cil/datasets_ref/imagenet_a.py:35
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